Franklin Systematic Style Premia ETF FLSP
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Franklin Systematic Style Premia ETF (FLSP) Investment Strategy and Portfolio Holdings Overview
The fund seeks to achieve its investment goal by allocating its assets across two underlying "alternative" investment strategies, which represent top-down and bottom-up approaches to capturing factor-based risk premia. Through the two strategies, it may invest in or obtain exposure to: (i) equity securities (which may include common stocks and preferred stocks), (ii) debt securities (which may include bonds, notes, debentures, banker's acceptances and commercial paper), (iii) commodity-linked derivative instruments and (iv) currency-related derivative instruments.
Key Insights
Franklin Systematic Style Premia ETF (FLSP) Essential ETF Metrics and Performance Data
Latest Closing Price
$24.7Market Cap
$306.18 MillionAverage Trade Volume
25,946 SharesTotal Outstanding Shares
14 Million SharesInception Date
December 20, 2019Primary Exchange
New York Stock Exchange Archipelago
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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